Previous studies that model the turbulence effect geometrically usually utilize a composition of blurring and random distortions [1]}, [2]}, [3]}. Blurring can be applied using basic low-pass filtering. Random distortions can be emulated using image warping and can be efficiently performed on GPUs [4]}. We utilize the following model for turbulent image generation using non-turbulent images:
\(F_n(x,y)=D((G_B(x,y) \circledast I_n(x,y)), ... \quad \quad \\\quad \quad \quad \quad \quad \quad \quad \quad \quad \quad d_n^u(x,y),d_n^v(x,y))\) 
